Skip to content

Instantly share code, notes, and snippets.

@bzz

bzz/ML4SE at ICLR 2021.md

Last active November 18, 2021 07:39
Show Gist options
  • Save bzz/dfb94ed3119bfb5bc9acee5c39440045 to your computer and use it in GitHub Desktop.
Save bzz/dfb94ed3119bfb5bc9acee5c39440045 to your computer and use it in GitHub Desktop.
Download ZIP
Machine Learning for Software Engineering papers at ICLR 2021
Raw
ML4SE at ICLR 2021.md

Accepted Papers

  1. On the Bottleneck of Graph Neural Networks and its Practical Implications

    Uri Alon, Eran Yahav. poster

  2. GraphCodeBERT: Pre-training Code Representations with Data Flow

    Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie LIU, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou. poster

  3. BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration

    Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton, Hanjun Dai. spotlight

  4. Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

    method for combining retrieval-based models and graph neural networks for source code summarization

    Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu. spotlight

  5. Language-Agnostic Representation Learning of Source Code from Structure and Context

    transforment \w seq + AST as input; utilizes several pairwise distance measures between AST nodes in the self-attention operation

    Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann. poster

  6. Representing Partial Programs with Blended Abstract Semantics Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama. poster

  7. Generating Adversarial Computer Programs using Optimized Obfuscations

    Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly. poster

Submitted

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment